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Study guide for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution | Microsoft Docs
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In this first exam prep episode for AI-102, Alfonso introduces you to planning and managing an Azure AI solution. Skills measured This episode covers the first of six high-level topics in the skill...
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Practice Assessment
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Lab files for Azure AI Language modules. Contribute to MicrosoftLearning/mslearn-ai-language development by creating an account on GitHub.
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Lab files for Azure AI Vision modules. Contribute to MicrosoftLearning/mslearn-ai-vision development by creating an account on GitHub.
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Discover resources to help you evaluate, understand, and make informed decisions about AI systems.
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Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and l...
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How to get started with Azure AI Services
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View the pricing specifications for Azure AI Services, including the individual API offers in the vision, language, and search categories.
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Azure AI services are cloud-based artificial intelligence (AI) services that help developers build cognitive intelligence into applications without having direct AI or data science skills or knowle...
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Learn how to develop computer vision solutions in Azure
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The Azure AI Vision service provides you with access to advanced algorithms for processing images and returning information.
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This article gives an overview of the Azure AI Video Indexer service.
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Mean average precision is a metric used to calculate the performance of information retrieval and object detection models. Learn how to calculate it.
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Develop natural language processing solutions with Azure AI Services (AI-3003)
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Implement knowledge mining with Azure AI Search
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Implement knowledge mining with Azure AI Search
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Develop Generative AI solutions with Azure OpenAI in Foundry Models
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Validate your technical skills and open doors to new possibilities of advancement with Microsoft Applied Skills.
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Create an intelligent document processing solution with Azure AI Document Intelligence.
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Build a natural language processing solution with Azure AI Language.
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Azure Search Python sample code. Contribute to Azure-Samples/azure-search-python-samples development by creating an account on GitHub.
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21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/ - microsoft/generative-ai-for-beginners
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tiktoken is a fast BPE tokeniser for use with OpenAI's models. - openai/tiktoken
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Explore developer resources, tutorials, API docs, and dynamic examples to get the most out of OpenAI's platform.
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Recognize speech, synthesize speech, get real-time translations, transcribe conversations, or integrate speech into your bot experiences.
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Learn how to integrate AI into your applications that can extract information and understand written language.
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Azure AI Translator is a cloud-based machine translation service you can use to translate text through a simple REST API call. The service uses modern neural machine translation technology and offe...
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Learn how to use Azure OpenAI's powerful models including o-series, GPT-4o, GPT-4o mini, GPT-4, GPT-4 Turbo with Vision, GPT-3.5-Turbo, GPT-image-1, and Embeddings model series
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Learn Prompting offers a comprehensive, free guide on Generative AI and Prompt Engineering, perfect for beginners and advanced users alike. Start your AI journey now!
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The agent factory - Design, customize, manage, and support AI applications and agents at scale.
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Information retrieval at scale for agentic retrieval, with vector and text content in traditional or generative search scenarios.
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Lab files for Azure AI Knowledge Mining modules. Contribute to MicrosoftLearning/mslearn-knowledge-mining development by creating an account on GitHub.
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Code samples for the Azure.AI.DocumentIntelligence client library.
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Azure AI Document Intelligence is a cloud-based Azure AI service that uses machine-learning models to extract key-value pairs, text, and tables from your documents. Document Intelligence analyzes y...
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Lab files for Azure AI Document Intelligence modules - MicrosoftLearning/mslearn-ai-document-intelligence
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Contribute to MicrosoftLearning/mslearn-openai development by creating an account on GitHub.
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Use Azure AI Content Understanding for multimodal content analysis and information extraction.
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Learn how to develop AI agents on Azure using the Azure AI Foundry Agent Service and Semantic Kernel Agent Framework. AI-3026
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11 Lessons to Get Started Building AI Agents. Contribute to microsoft/ai-agents-for-beginners development by creating an account on GitHub.
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Learn how to create agents that apply advanced language models for workflow automation.
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SDK for Microsoft's Azure AI Vision. Contribute to Azure-Samples/azure-ai-vision-sdk development by creating an account on GitHub.
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Sample code for the Microsoft Cognitive Services Speech SDK - Azure-Samples/cognitive-services-speech-sdk
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This repository hosts a variety of samples for the features in Azure Cognitive Services for Language. - Azure-Samples/cognitive-service-language-samples
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SDK for Python: https://github.com/Azure/azure-sdk-for-python/tree/main/sdk SDK for .Net: https://github.com/Azure/azure-sdk-for-net/tree/main/sdk SDK for Java: https://github.com/Azure/azure-sdk-for-java/tree/main/sdk SDK for JavaScript: https://github.com/Azure/azure-sdk-for-js/tree/main/sdk
Jupyter notebooks that demonstrate vector search, hybrid search, image search, RAG, and evaluation, all with Azure AI Search. - Azure-Samples/rag-with-azure-ai-search-notebooks
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A repository of code samples for Vector search capabilities in Azure AI Search. - Azure/azure-search-vector-samples
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A solution accelerator project harnessing the capabilities of Azure AI Language to augment an existing Azure OpenAI RAG chat app. Utilize Conversational Language Understanding (CLU) and Custom Ques...
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Azure Search Knowledge Mining Accelerator. Contribute to Azure-Samples/azure-search-knowledge-mining development by creating an account on GitHub.
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Official community-driven Azure AI Examples. Contribute to Azure-Samples/azureai-samples development by creating an account on GitHub.
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Contribute to Azure-Samples/azure-ai-content-understanding-python development by creating an account on GitHub.
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Content Understanding is a solution that analyzes and comprehends various media content—such as documents, images, audio, and video—transforming it into structured, organized, and searchable data.
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Learn how to develop generative AI apps in Azure. (AI-3016)
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